Literature DB >> 758931

Describing the validity of carcinogen screening tests.

J A Cooper, R Saracci, P Cole.   

Abstract

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Year:  1979        PMID： 758931      PMCID： PMC2009815          DOI： 10.1038/bjc.1979.10

Source DB:  PubMed          Journal:  Br J Cancer        ISSN： 0007-0920            Impact factor:   7.640


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  6 in total

1.  Validity of screening.

Authors:  M Henderson
Journal:  Cancer       Date:  1976-01       Impact factor: 6.860

2.  The Youden index: letters to the editor.

Authors:  S W GREENHOUSE; J CORNFIELD; F HOMBURGER
Journal:  Cancer       Date:  1950-11       Impact factor: 6.860

3.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

4.  Taking stock.

Authors:  W W Holland
Journal:  Lancet       Date:  1974-12-21       Impact factor: 79.321

Review 5.  Detection of carcinogens as mutagens in the Salmonella/microsome test: assay of 300 chemicals: discussion.

Authors:  J McCann; B N Ames
Journal:  Proc Natl Acad Sci U S A       Date:  1976-03       Impact factor: 11.205

6.  An evaluation of 6 short-term tests for detecting organic chemical carcinogens.

Authors:  I F Purchase; E Longstaff; J Ashby; J A Styles; D Anderson; P A Lefevre; F R Westwood
Journal:  Br J Cancer       Date:  1978-06       Impact factor: 7.640
  6 in total
  23 in total

Review 1.  How accurate is in vitro prediction of carcinogenicity?

Authors:  Richard Maurice Walmsley; Nicholas Billinton
Journal:  Br J Pharmacol       Date:  2011-03       Impact factor: 8.739

2.  Quantitative and qualitative models for carcinogenicity prediction for non-congeneric chemicals using CP ANN method for regulatory uses.

Authors:  Natalja Fjodorova; Marjan Vračko; Marjan Tušar; Aneta Jezierska; Marjana Novič; Ralph Kühne; Gerrit Schüürmann
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

Review 3.  In vitro models.

Authors:  D Anderson
Journal:  Drug Saf       Date:  1990       Impact factor: 5.606

4.  Nonlinear QSAR modeling for predicting cytotoxicity of ionic liquids in leukemia rat cell line: an aid to green chemicals designing.

Authors:  Shikha Gupta; Nikita Basant; Kunwar P Singh
Journal:  Environ Sci Pollut Res Int       Date:  2015-04-28       Impact factor: 4.223

5.  Modeling the binding affinity of structurally diverse industrial chemicals to carbon using the artificial intelligence approaches.

Authors:  Shikha Gupta; Nikita Basant; Premanjali Rai; Kunwar P Singh
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-11       Impact factor: 4.223

6.  QSAR modeling for predicting mutagenic toxicity of diverse chemicals for regulatory purposes.

Authors:  Nikita Basant; Shikha Gupta
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-24       Impact factor: 4.223

7.  Investigating hydrochemistry of groundwater in Indo-Gangetic alluvial plain using multivariate chemometric approaches.

Authors:  Kunwar P Singh; Shikha Gupta; Premanjali Rai
Journal:  Environ Sci Pollut Res Int       Date:  2014-01-25       Impact factor: 4.223

8.  Human-Derived In Vitro Models Used for Skin Toxicity Testing Under REACh.

Authors:  Susanne N Kolle; Robert Landsiedel
Journal:  Handb Exp Pharmacol       Date:  2021

9.  Estimating sensory irritation potency of volatile organic chemicals using QSARs based on decision tree methods for regulatory purpose.

Authors:  Shikha Gupta; Nikita Basant; Kunwar P Singh
Journal:  Ecotoxicology       Date:  2015-02-24       Impact factor: 2.823

10.  New public QSAR model for carcinogenicity.

Authors:  Natalja Fjodorova; Marjan Vracko; Marjana Novic; Alessandra Roncaglioni; Emilio Benfenati
Journal:  Chem Cent J       Date:  2010-07-29       Impact factor: 4.215
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